code: def repeat(self, *repeats):
      if len(repeats) == 1 and hasattr(repeats[0], "__iter__"):
          repeats = repeats[0]
      *batch_repeat, row_repeat, col_repeat = repeats
  
      x1 = self.x1.repeat(*batch_repeat, row_repeat, 1)
      x2 = self.x2.repeat(*batch_repeat, col_repeat, 1)
      return self.__class__(
          x1,
          x2,
          kernel=self.kernel,
          last_dim_is_batch=self.last_dim_is_batch,
          **self.params,
      )
  
imports: import functools
  from typing import Callable
  import torch
  from linear_operator import LinearOperator, to_linear_operator
  from linear_operator.utils.getitem import _noop_index
  from ..None import beta_features, settings
  from ..utils import deprecation
  from ..utils.memoize import cached
label_desc: Use image node_id 15 for calling the LazyEvaluatedKernelTensor obj's underlying member method code with example usage: obj.repeat() and returns: self